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All Journal IJOG : Indonesian Journal on Geoscience EMITTER International Journal of Engineering Technology
Muhammad Awais
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Computer Science & IT Earth & Planetary Sciences

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Seismic Expression of Subsurface Structures in Potwar Plateau, Pakistan: A Multi-attribute Analysis Approach Khan, Muhammad Younis; Awais, Muhammad
Indonesian Journal on Geoscience Vol. 12 No. 1 (2025)
Publisher : Geological Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17014/ijog.12.1.13-24

Abstract

The Potwar Plateau in Himalayan fold-and-thrust belt is a major hydrocarbon producing region of Pakistan. The Eocene carbonates are predominantly known reservoirs in the plateau which are segmented due to faulting. This article main goal is to delineate faults and fractures by testing capabilities of three types of seismically derived attributes (geometrical, instantaneous, and wavelet). Potential of attributes was also exemplified by comparing results from seismic data sets of two fields with proven hydrocarbon potential in Potwar Plateau. Since fault and fracture information derived from a single seismic attribute is not accurate, a multi-attribute approach was adopted to discuss and to compare results of integrated attribute analysis technique for subsurface structural mapping of fault zones and throw distribution. Attribute anomalies on dip variance, trace and wavelet envelope maps identified as possible fault locations, were then analyzed on additional attribute (spectral decomposition) maps. Results indicate that some attributes could suppress surrounding noises and could visualize identified faults. The application of spectral decomposition shows more convincible results than other individual attributes. The added values of proposed methodology of multi-attribute analysis are validated through applications, including mapping qualitative aspects of throw along major thrusts, tracking horizontal strata on either side of deformed zones, faults detection offsetting reflectors at various scales, and delineating main subsurface geometry of pop-up structure. After subsurface mapping and digital extraction of fault information, current work highlight importance of implementation of these automated methods in seismic interpretation to aid in reservoir modelling techniques, especially in foreland areas with complex fault system (s), e.g. Potwar Plateau in Pakistani Himalaya.
Patient's Feedback Platform for Quality of Services via “Free Text Analysis” in Healthcare Industry Sajid, Ahthasham; Awais, Muhammad; Amir Mehmood, Mirza; Batool, Shazia; Shahzad, Amir; Zafar, Afia
EMITTER International Journal of Engineering Technology Vol 8 No 2 (2020)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v8i2.502

Abstract

Data analysis of social media posting continues to offer a huge variety of information about the health situation faced by an individual. Social networking or social media websites provide us a wealth of information generated by users in a variety of domains, that generated information are unstructured and unlabeled and are not captured in an exceedingly systematic manner, as info generated is not humanly possible to process due to its size. One traditional way of collecting patients experience is by conducting surveys and questionnaires, as these methods ask fixed questions and are expensive to administer. In this paper, a patient feedback platform (PFP) using free text sentiment analysis is developed to computationally identify and categorize the polarity expressed in a piece of text. Six machine learning latest algorithms have been used as key evaluation for evaluating accuracy of the developed (PFP) model. Results achieved have shown 88 % accuracy on the basis of which it is recommended that developed (PFP) patient feedback platform could be used to improve E-health care services indeed.
Co-Authors Amir Mehmood, Mirza Batool, Shazia Khan, Muhammad Younis Mohsin Amin Muhammad Imran Shehzad Sajid, Ahthasham Shahzad, Amir Yasir Ali Shah Zafar, Afia